Advanced Methods and Deep Learning in Computer Vision (Paperback)

Advanced Methods and Deep Learning in Computer Vision presents advanced computer vision methods, emphasizing machine and deep learning techniques that have emerged during the past 5-10 years. The book provides clear explanations of principles and algorithms supported with applications. Topics covered include machine learning, deep learning networks, generative adversarial networks, deep reinforcement learning, self-supervised learning, extraction of robust features, object detection, semantic segmentation, linguistic descriptions of images, visual search, visual tracking, 3D shape retrieval, image inpainting, novelty and anomaly detection. This book provides easy learning for researchers and practitioners of advanced computer vision methods, but it is also suitable as a textbook for a second course on computer vision and deep learning for advanced undergraduates and graduate students.

General

Imprint:	Academic Press Inc
Country of origin:	United States
Series:	Computer Vision and Pattern Recognition
Release date:	November 2021
First published:	2022
Editors:	E.R. Davies • Matthew Turk
Dimensions:	235 x 191 x 36mm (L x W x T)
Format:	Paperback
Pages:	582
ISBN-13:	978-0-12-822109-9
Categories:	Books > Computing & IT > Applications of computing > Artificial intelligence > Computer vision Books > Professional & Technical > Electronics & communications engineering > Electronics engineering > Automatic control engineering > Robotics Promotions
LSN:	0-12-822109-7
Barcode:	9780128221099

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